For a fair and consistent comparison, when using this dataset for EEG-based classification, we employ the same training, validation and test splits as in  [1]}, consisting of 1600 (80%), 200 (10%), 200 (10%) images with associated EEG signals, respectively, ensuring that all signals related to a given image belong to the same split.
